AI News

Credit: Pixabay/CC0 Public Domain Most people generally are more concerned about the immediate risks of artificial intelligence than they are about a theoretical future in which AI threatens humanity. A new study by the University of Zurich reveals that respondents draw clear distinctions between abstract scenarios and specific tangible problems and particularly take the latter very seriously. There is a broad consensus that artificial intelligence is asso

Microsoft positions MatterGen as a complementary tool to its previous AI model, MatterSim, which accelerates simulations of material properties. Together, the tools could serve as a technological “flywheel”, enhancing both the exploration of new materials and the simulation of their properties in iterative loops.This approach aligns with what Microsoft refers to as the “fifth paradigm of scientific discovery,” in which AI moves beyond pattern recognition t

A pipeline to benefit the wider industryDeepSeek has shared insights into its rigorous pipeline for reasoning model development, which integrates a combination of supervised fine-tuning and reinforcement learning.According to the company, the process involves two SFT stages to establish the foundational reasoning and non-reasoning abilities, as well as two RL stages tailored for discovering advanced reasoning patterns and aligning these capabilities with h

The apparently widespread access to Blackwell GPUs among Chinese frontier labs shows the magnitude of the problem facing the leading chip designer. Nvidia CEO Jensen Huang left the company this week after admitting to his affair with Alice Huang, executive of Megaspeed, a company implicated in smuggling Nvidia chips into China. Alice Huang has also been alleged to be an agent of China’s intelligence service. While Jensen Huang’s relationships with a custom

Over the last several years, Nvidia has been a prolific investor, pouring tens of billions into startups annually and participating in 105 rounds this year alone, often as the largest investor, according to PitchBook. “If that direction changes, it’ll be a big blow to so many young companies,” said Maria Davidson, founder of Relational Capital. Huang’s absence leaves the startup ecosystem without one of its biggest champions and with far less capital for n

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Sorting algorithm is one of the most popular foundation algorithms that are used trillions of times on almost every day. But like many algorithms, it has reached a stage whereby human are struggling to improve them further, especially when the demand for computation continue to grow. In a new paper Faster sorting algorithms discovered using deep reinforcement learning, a DeepMind research team introduces AlphaDev, a deep reinforcement learning (DRL) agent

The 2023 BAAI Conference, a premier event in the AI industry, concluded successfully in Beijing on June 10. Initiated on June 9, the conference played host to an array of esteemed AI scholars, experienced industry leaders, passionate AI researchers, and global attendees, engaging in a blend of virtual and in-person interactions. This year, the BAAI conference stage was graced by a remarkable lineup of AI research luminaries. The roster included Turing Awar

Training large artificial neural networks is an art. It has long been known that high quality training data has significant impacts the improvement of large-scale models performance and can even alter the scaling laws related to model and data size. Following this approach, a Microsoft research team, in their new paper Textbooks Are All You Need, crafts ‘textbook quality’ data to train a large language model for code. The resulting phi-1 model surpasses th

While large language models (LLMs) have demonstrate remarkable Performance across a range of natural language processing task, their widespread implementation in real-world applications necessitates a high degree of responosbility. Current cutting-edge models, including GPT-3, unfortunately, display a significant deficit in their moral reasoning capabilities. To address this challenge, in a new paper Let’s Do a Thought Experiment: Using Counterfactuals to

In recent years, data compression or distillation approaches have garnered widespread attention. By compressing large-scale datasets into compact, representative subsets, these methods facilitate rapid model training, efficient data storage, and the preservation of vital information from the original dataset. However, existing solutions primarily excel at compressing low-resolution smaller datasets due to significant computational overhead demands. In a ne